⚡️ Speed up method Urlizer.handle_word by 7%
#128
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📄 7% (0.07x) speedup for
Urlizer.handle_wordindjango/utils/html.py⏱️ Runtime :
452 microseconds→422 microseconds(best of78runs)📝 Explanation and details
The optimized code achieves a 7% speedup through several targeted micro-optimizations that reduce attribute lookup overhead and improve loop efficiency:
What optimizations were applied:
Pre-computed attribute lookups in
trim_punctuation: Moved repeatedself.attributelookups outside the while loop into local variables, reducing costly attribute resolution on each iteration.Eliminated CountsDict dependency: Replaced the custom
CountsDict(word=middle)with a simple dictionary that's populated only when needed inside the loop, avoiding upfront computation overhead.Cached middle length calculation: Added
middle_len = len(middle)to avoid recalculating the same length multiple times in URL matching conditions.Early variable binding: Combined the special character check into a single
word_has_specialvariable to avoid repeating the same string containment checks.Why these optimizations work:
self.attr) is significantly slower than local variable access. Moving these lookups outside the hot loop eliminates repeated dictionary lookups in the object's__dict__.trim_punctuationis called for every word with special characters, so minimizing operations inside it has compounding effects.Test case performance patterns:
The optimization shows consistent 5-18% improvements across all test cases involving punctuation trimming, URL processing, and email handling. The gains are most pronounced in cases with complex punctuation (like "foo:bar" showing 18.7% improvement) because these trigger the optimized punctuation trimming logic most heavily.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-Urlizer.handle_word-mh6sp5jland push.